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Ferret: A Multimodal Large Language Model

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81–90 of 332 posts

Re: Ferret: A Multimodal Large Language Model

#81
post #64

Earlier quoted context omitted.

Because the first word is "multimodal" :^) and also because MLLM is the established initialism.

My point was the phrase already contains the word model. Why are we calling it a multimodel LL model? Why not just add multi to the existing model?

Modalities and models are not the same thing.

Re: Ferret: A Multimodal Large Language Model

#82

> Usage and License Notices: The data, and code is intended and licensed for research use only.

Many big “open source” releases in the AI community recently are not licensed for commercial use. Not really OSS at that point (ex:fuyu model from adept)

Re: Ferret: A Multimodal Large Language Model

#83
post #74

Earlier quoted context omitted.

Apple doesn’t even sell NVidia cards on their Mac Pros. Are they training it on Linux? I think Apple would strive to be great at all computing related tasks. “Oh, Macs are not good for that, you should get a PC” should make them sad and worried. AI/LLM is the new hot thing. If people are using Windows or Linux, you’re loosing momentum, hearts and minds… and sales, obviously.

Don't think that follows. I doubt all their cloud services run on Apple hardware. They make consumer devices.

AFAIK all their cloud services run on x86 hardware with Linux, including Xcode Cloud (which runs macOS in a QEMU VM, in a way that only Apple can technically and legally do).

Re: Ferret: A Multimodal Large Language Model

#84
post #21

I really hope Apple releases an iPhone with a good on-device private LLM assistant, perhaps next year. Their hardware is well-positioned for it. It could make me get a new phone outside of my usual ~4 year cycle. Siri is almost unusable for me.

With iOS 17 they added a tiny little LLM to the predictive typing. I have the newest and greatest iPhone but I feel that I very rarely see it in action. I must assume that it’s just too slow at to keep up with my typing at the moment. Or it’s just not large enough to give very many useful suggestions.

Re: Ferret: A Multimodal Large Language Model

#86
post #64

Earlier quoted context omitted.

Because the first word is "multimodal" :^) and also because MLLM is the established initialism.

My point was the phrase already contains the word model. Why are we calling it a multimodel LL model? Why not just add multi to the existing model?

Modal, not model

Re: Ferret: A Multimodal Large Language Model

#87

Earlier quoted context omitted.

Apple doesn’t even sell NVidia cards on their Mac Pros. Are they training it on Linux? I think Apple would strive to be great at all computing related tasks. “Oh, Macs are not good for that, you should get a PC” should make them sad and worried. AI/LLM is the new hot thing. If people are using Windows or Linux, you’re loosing momentum, hearts and minds… and sales, obviously.

If a train with a GM diesel engine delivers raw materials to a Ford factory for making F150s, you would conclude that consumers whould start driving trains to work? Is that your argument?

Not at all, just that the engineers at Ford would be more proud if the train used their own diesel engine. And that this kind of thing affects public perception. “Ford is not for heavy duty”

Re: Ferret: A Multimodal Large Language Model

#88
post #64

Earlier quoted context omitted.

Because the first word is "multimodal" :^) and also because MLLM is the established initialism.

My point was the phrase already contains the word model. Why are we calling it a multimodel LL model? Why not just add multi to the existing model?

MultimodAl, not multimodEl

Re: Ferret: A Multimodal Large Language Model

#89

> FERRET is trained on 8 A100 GPUs with 80GB memory. Huh, even Apple isn't capable of escaping the CUDA trap. Funny to see them go from moral enemies with Nvidia to partially-dependent on them...

I feel like Apple is only testing the waters with AI right now, but perhaps if they get involved enough they'll spend money on their own compute infrastructure? Nvidia is kind of the king at GPU compute right now, and developing comparable hardware is no small or cheap task, but I think Apple is in a very good position to be able to make it work---if they decide to invest in it. But honestly, as far as corporate feud goes, I feel like companies will happily suck it up if it makes some process cheaper and/or easier

Re: Ferret: A Multimodal Large Language Model

#90

> FERRET is trained on 8 A100 GPUs So Apple uses NVidia internally. Not surprising, but doesn't bode well for A Series. Dogfooding. [edit] I meant M series, Apple Silicon

I feel like Apple is only testing the waters with AI right now, but perhaps if they get involved enough they'll spend money on their own compute infrastructure? Nvidia is kind of the king at GPU compute right now, and developing comparable hardware is no small or cheap task, but I think Apple is in a very good position to be able to make it work---if they decide to invest in it. But honestly, as far as corporate feud goes, I feel like companies will happily suck it up if it makes some process cheaper and/or easier
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